Role - Sr. Elastic Engineer
Location - Bedford, MA & Hampton, VA (Hybrid 3 days in a week)
Clearance - Secret
Note from Clien
- tElastic SRE/Observability Enginee
- rECK/Kubernete
- sKnowledge of Kubernetes and able to create visualization diagrams and dashboards for monitoring network bandwidt
- hUpdate data collectors on clusters
- .Plan and coordinate cluster shutdowns and data retention activities
- .Elastic Certifie
d
Key Responsibilitie
- s:Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash, Beats, and Flee
- t.Build and optimize ingestion pipelines, index strategies, search queries, dashboards, and automation workflow
- s.Write scripts, automation, and integrations (Python, PowerShell, Bash, etc.) to streamline operations, data processing, and monitorin
- g.Deploy Elastic across platforms, including on-premises, public cloud (AWS, Azure, GCP), GovCloud, and containerized environments (Kubernetes, Docker, OpenShift
- ).Leverage automation and orchestration tools such as Terraform, Ansible, CI/CD pipelines, and Docker to manage deployments and operational task
- s.Integrate Elastic with enterprise tools such as SIEMs, Splunk, CrowdStrike, and other telemetry source
- s.Monitor system health, troubleshoot performance issues, and optimize for reliability and scalabilit
- y.Lead design reviews, provide guidance on Elastic best practices, and support knowledge sharing across team
- s.Maintain documentation for architectures, deployment patterns, runbooks, and operational best practice
- s.Stay current with Elastic features, certifications, and emerging platform capabilitie
s.
Required Ski
- llsDeep, hands-on expertise with Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, Flee
- t).Strong scripting and automation skills (Python, PowerShell, Bash, etc
- .).Solid understanding of observability, logging, metrics, and distributed syste
- ms.Experience designing, deploying, and optimizing production-scale Elastic environmen
- ts.Strong Linux/Unix, networking, and cloud platform knowledge (AWS, Azure, GC
- P).Ability to mentor, guide, and influence engineering teams on Elastic best practic
- es.Outstanding verbal and written communication skil
- ls.Willingness and ability to support domestic or international on-site engagemen
ts.
Desired Sk
- illsExperience with containerization and orchestration (Kubernetes, Docker, OpenShi
- ft).Experience with automation/orchestration tools (Terraform, Ansible, CI/CD pipelin
- es).Familiarity integrating Elastic with endpoint telemetry or cloud-native to
- ols.Certifications (preferr
- ed):Elastic Certified Engineer, Elastic Security Engineer, Elastic Observability Engi
- neerAWS Certified Solutions Architect or equiva
- lentDocker Certified Associate (
- DCA)Certified Kubernetes Administrator (
- CKA)HashiCorp Certified: Terraform Assoc
- iateRed Hat Certified Specialist in Ansible Automa
- tionPrior experience in DevOps, Site Reliability Engineering, or cloud platform roles is a p
- lus.Experience designing dashboards, observability frameworks, and large-scale workfl
ows.
Experience with the b
elow:Platforms: On-premises, Public Cloud (AWS, Azure, GCP), GovCloud, hybrid deploy
mentsContainerization: Kubernetes, Docker, Open
ShiftAutomation: Terraform, Ansible, CI/CD pipelines, D
ockerIntegrations: SIEMs (Splunk, Elastic Security), endpoint/security telemetry (CrowdStrike), cloud-native ser
vicesCompeting Technolo
gies:Splunk, OpenSearch, Solr, Lucene, Graylog, Datadog, Elastic Cloud alterna
tives